Function reference • erikmisc

All functions
`dat_ergoStool_e`	nlme::ergoStool, labeled
`dat_mtcars_e`	datasets::mtcars, factored and labeled
`dat_unicode_tables_sel_byhand_e`	Unicode characters from most of the tables from Wikipedia's "List of Unicode characters"
`.onAttach()`	.onAttach start message
`.onLoad()`	.onLoad getOption package settings
`erikmisc_attach()`	erikmisc_attach
`erikmisc_conflicts()`	Conflicts between the erikmisc and other packages
`erikmisc_logo()`	The erikmisc logo, using ASCII or Unicode characters
`erikmisc_packages()`	List all packages in the erikmisc
`e_calc_a1c_categories()`	A1c category labels using CDC classification or user-defined categories
`e_calc_bmi()`	BMI Calculation
`e_calc_bmi_categories()`	BMI category labels using CDC classification
`e_calc_ECURE_LUDTM()`	ECURE Lower- to upper-division transition metric
`e_calc_ECURE_LUDTM2()`	ECURE Lower- to upper-division transition metric, v2
`e_calc_ECURE_scale_LUDTM()`	ECURE scale the LUDTM when less than expected
`e_calc_ECURE_UDE()`	ECURE Upper Division Expectation (UDE)
`e_calc_phq2_categories()`	PHQ-2 category labels using Table 4 from Kroenke K, Spitzer RL, Psychiatric Annals 2002;32:509-521
`e_calc_phq9_categories()`	PHQ-9 category labels using Table 4 from Kroenke K, Spitzer RL, Psychiatric Annals 2002;32:509-521
`e_coalesce_by_column()`	Combine rows with different data values
`e_coalesce_column_set()`	Coalesce column set
`e_complete_multiple_keys()`	Complete multiple key ID variables
`e_convert_cm_to_in()`	Convert centimeters (cm) to inches (in)
`e_convert_Datetime_to_ExcelDatetime()`	Convert Datetime to Excel datetime
`e_convert_Date_to_ExcelDate()`	Convert Date to Excel date
`e_convert_ExcelDatetime_to_Datetime()`	Convert Excel datetime to Datetime
`e_convert_ExcelDate_to_Date()`	Convert Excel date to Date
`e_convert_Grade_to_GPA()`	convert letter grades to GPA equivalent
`e_convert_in_to_cm()`	Convert inches (in) to centimeters (cm)
`e_convert_kg_to_lb()`	Convert kilograms (kg) to pounds (lb)
`e_convert_lb_to_kg()`	Convert pounds (lb) to kilograms (kg)
`e_convert_logistic()`	Logistic: Convert from log(Odds Ratio) to Probability
`e_convert_logit()`	Logit: Convert from Probability to log(Odds Ratio)
`e_convert_oddsratio_to_probability()`	Convert from Odds Ratio to Probability
`e_convert_probability_to_oddsratio()`	Convert from Probability to Odds Ratio
`e_data_convert_factor_to_numeric()`	Convert all factor variables to their numeric factor levels
`e_data_var_labels_clear()`	Clear labels from variables in data frames
`e_duplicated_all()`	All Determine Duplicate Elements
`e_expand_grid_df()`	Create a Data Frame from All Combinations of Data Frames
`e_extract_numbers_from_string()`	Extract numbers from a string
`e_headtail()`	Print head and tail of a data.frame
`e_is_error()`	check a function and if there's an error return an indication that we can ifelse() to either run for real or skip
`e_linear_interpolation()`	Linear interpolation and extrapolation of y conditional on spacing of x
`e_lm_bestsubset()`	Best subset selection returns results sorted by BIC
`e_lm_model_criteria()`	Return table of model selection criteria
`e_lm_power()`	Multiple regression power analysis
`e_lm_print_html_anova()`	Print an lm() anova table to html
`e_lm_print_html_summary()`	Print an lm() summary table to html
`e_log_shift()`	Log2 nonnegative numbers after offsetting 0 by minimum non-zero value.
`e_match_closest_in_range()`	Match the closest observations from one dataset to a key dataset.
`e_message_capture()`	Capture a message, warning, or error to take actions
`e_model_all_subsets_formula()`	All model subsets
`e_model_binary_complete()`	All variable subsets
`e_pilot_density_altitude()`	Compute Koch Chart density altitude, takeoff roll, and climb rate
`e_plot_blank()`	Create blank ggplot grob plot used as a place holder
`e_plot_bs_one_samp_dist()`	Visual comparison of whether Bootstrap sampling distribution of the mean is close to Normal
`e_plot_bs_two_samp_diff_dist()`	Visual comparison of whether Bootstrap sampling distribution of the difference in means is close to Normal
`e_plot_calc_break_interval()`	Interval for plot breaks, determine a "nice" length of seq(by = Interval)
`e_plot_clean_numeric_nonnum_minmax()`	Cleaning numeric values for nonnumeric and large/small values, similarly for dates.
`e_plot_compare_medians()`	ANOVA-style dot-plot comparing means
`e_plot_corr_ellipse()`	Correlation plot with ellipses
`e_plot_extract_legend()`	Extract ggplot legend as it's own plot grob object
`e_plot_grid_corner_label()`	For corner labels, remove the labs(tag=) argument and use this
`e_plot_grid_corner_label_list()`	Add corner labels to all grobs in a list using `e_plot_grid_corner_label()` instead of labs(tag=)
`e_plot_lm_diagnostics()`	Plotting residual diagnostics for an lm() object.
`e_plot_longitudinal()`	Longitudinal interaction plots
`e_plot_missing()`	Plots missing data in a data.frame, possibly grouped by one variable and sorted by a second.
`e_plot_mnv_norm_qqplot()`	Graphical Assessment (QQ-plot) for assessing Multivariate Normality
`e_plot_model_contrasts()`	Compute and plot all contrasts and test results from a linear model by automating the use of emmeans tables and plots.
`e_plot_roc()`	A function to calculate the ROC curve, determine the optimal threshold, plot the curve, and provide classification statistics
`e_plot_scatterplot()`	Plot scatterplot of a numeric y-variable against a numeric or categorical x-variable, by up to one color factor or numeric variable and two facets factor variables
`e_plot_table_prop()`	Calculate proportions and plot factor variable by up to two other factor variables
`e_plot_ttest_pval()`	Plot the result of a t-test by shading the p-value area under the t-distribution
`e_pval_stars()`	Return star symbols for ranges between a set of p-values, or any set of numbers
`e_read_data_files()`	Read a list of csv, xls, or xlsx data into a list of tibbles
`e_read_data_subdir_into_lists()`	Read data from subdirectories into a structured list
`e_read_df_header_span_rows()`	Combine multiple header rows into a column name for a text data frame
`e_REDCap_read_format_data()`	REDCap data, reading and formatting data
`e_REDCap_replace_var_label()`	REDCap variable labeling, replace Hmisc `label()` with labelled `var_label()` in the R formatting file
`e_REDCap_use_dotfactor_var()`	REDCap data, use ".factor" var with original variable label
`e_replace_keys_less_with_most_complete()`	Match and replace less complete rows with most complete row
`e_rmd_name_chunks()`	Read an Rmd rmarkdown file and apply enumerated code chunks
`e_roc_gg()`	A function to calculate ROC curve, calculate area under the curve (AUC), calculate the optimal threshold, plot the curve, and classify the peaks.
`e_source_all_R_in_folder()`	Source all *.R files in a folder
`e_split_list_columns_into_indicator_columns()`	Split a (set of) item-listing columns into indicator columns
`e_table1_summaries()`	Table 1 demographics summaries
`e_table_aggregate()`	Aggregate a set of variables by another set of variables with a specific function
`e_table_print()`	Print a data.frame table for latex and scale to fit page
`e_table_sum_freq_prop()`	Create a frequency/proportion summary table by a set of variables
`e_text_unicode_to_ascii()`	Replace Unicode with ASCII
`e_ttest_alt_hyp_text()`	Return text of alternative hypothesis via modified code from stats::print.htest
`%notin%`	Boolean operator "not in"
`package_version()`	package_version
`print(<erikmisc_logo>)`	Print for erikmisc_logo

Reference

All functions